2,125 Employee Data jobs in South Africa

The successful candidate must have proven expertise in PowerDesigner and will be responsible for designing and maintaining optimal data models and structures at both enterprise and system/application levels, ensuring alignment with the organizations business and architectural objectives.

This role requires strong analytical abilities, advanced design skills, effective communication, and proficiency in data and process modelling. Responsibilities include developing data warehouse schemas that accurately reflect business realities to support strategic goals, as well as creating UML class models to deliver robust and efficient data architecture solutions.

Our client is looking for a Data Engineer/Data Scientist fully in Office role based in JHB Key Requirements · 5 years experience overall. · BSc/ BTech/ N.Dip · Python Pandas, NumPy, Scikit-learn, Tensorflow/PyTorch · SQL Dialects T-SQL, PostgreSQL, NoSQL · Microsoft Azure Data Factory, Databricks, Synapse, ML · Google Cloud Platform BigQuery, Dataflow, Vertex AI · BI Tools Power BI, Tableau · Data warehouse · Docker/Kubernetes Should you meet the requirements for this position, please email your CV to . You can also contact the IT team on XXX-XXX or visit our website at NOTE: When replying to the advert, also include the reference number in the subject line. Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.

One of our clients is looking for a versatile Data Engineer / Data Scientist to drive data-driven insights. This role involves end-to-end data lifecycle management: building robust data pipelines, developing advanced analytical and ML/AI solutions, and creating impactful dashboards and reports for both internal and external stakeholders. The ideal candidate will transform raw data from diverse sources (web, social, internal systems) into actionable intelligence. Key Requirements · Education: A relevant degree in a quantitative field (e.g., Computer Science, Data Science, Statistics) · Technical Stack: Programming: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). · Query Languages: Expertise in latest SQL dialects (e.g., T-SQL, PostgreSQL) and experience with NoSQL. · Data Pipeline & Modelling: Design, build, and maintain scalable ETL/ELT pipelines from various sources. Develop and optimize data models and schemas for consumption by BI, ML, and AI applications. · Dashboarding & Reporting: Create interactive dashboards (e.g., Power BI) and comprehensive client reports, visualizing key trends and insights. · Machine Learning & AI: Identify opportunities, develop, and deploy predictive models and AI solutions. · Querying & Analysis: Utilize advanced SQL and NoSQL for complex data extraction, manipulation, and analysis. Should you meet the requirements for this position, please email your CV to . You can also contact the IT team on XXX-XXX or visit our website at NOTE: When replying to the advert, also include the reference number in the subject line. Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.

About The Position Department: Sales and Delivery Team - Empower Industry: Information Technology & Services, Computer Software, Management Consulting Experience Range : 4+ years Basic Qualification: Masters / Bachelor of Engineering or Equivalent Exusia, a cutting-edge digital transformation Company is looking for Senior Data Analysts who will work for our Banking & Financial Services clients focused on Data Engineering & Data Analytics projects What’s the Role? Full-time job to work with Exusia's global (Americas, Europe, Africa, Asia) clients to deliver bleeding-edge data-driven solutions by performing business and data analysis, data modelling, data mapping and translating functional requirements into technical specifications. Work with Client Product Owners & Business SMEs, Exusia Solution Architects and Senior Application Designers/Developers. Qualifications & Role Responsibilities Have a minimum of 4 years of experience working as a Data Analyst and Data Modeler Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas. Experience working in an agile software delivery model is required. Prior data modelling experience is mandatory preferably for DWH/Data marts Self-motivated and proactive in a fast-paced environment. Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies Own and Lead Data Analysis and data modeling activities Discuss & document data and analytics requirements with cross functional teams and business stakeholders. Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models Data profiling and cleaning data for data analysis. Interpret data, analyze results, prepare data analysis reports. Perform Data validation and testing to certify data Collect, analyze and disseminate significant amounts of information to project team & business stakeholders. Manage changing priorities during the software development lifecycle (SDLC) Requirements Mandatory Skills: Able to create Logical and Conceptual data models for business and functional users Understanding of ER and Dimensional modeling techniques like Star, Snowflake or Constellation Hands on experience in implementing Star Schema and Relational (Normalized including 3 NF) models is mandatory Should have implemented physical data models for a variety of RDBMS and cloud hosted databases Strong understanding of different types of facts and dimensions Hands on experience with data modeling tools like Erwin, ER Studio, Info Sphere Data Architect (IDA) Strong SQL or python skills for carrying out data analysis and data profiling Transforming business/functional requirements into technical specifications. Capturing data mapping / data transformation and business rules logic using source to target mapping templates Hands-on exposure to SQL and No SQL databases and able to write pseudo-code for ETL requirements. Data validation and testing using SQL or any tool-based testing methods Reporting/Visualization tool experience - Power BI Azure Certification relevant for Data Engineering/Analytics Experience and knowledge of one or more domains within Banking and Financial Services Nice-to-Have Skills: Exposure to scrum master or product owner role will be desirable Knowledge of data processing / ETL using Ab Initio / SAS / ADF /Azure Databricks Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects. About Exusia Exusia ( ) is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world's largest and most complex data problems in the financial, healthcare, telecommunications and high technology industries. Exusia’s mission is to transform the world through the innovative use of information. Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia, Africa and UK. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and its entrepreneurship. The company is headquartered in Miami city of Florida, United States with development centers in Pune, Hyderabad, Bengaluru and Gurugram, India. #J-18808-Ljbffr

About The Position Department: Sales and Delivery Team - Empower Industry: Information Technology & Services, Computer Software, Management Consulting Experience Range : 4+ years Basic Qualification: Masters / Bachelor of Engineering or Equivalent Exusia, a cutting-edge digital transformation Company is looking for Senior Data Analysts who will work for our Banking & Financial Services clients focused on Data Engineering & Data Analytics projects What’s the Role? Full-time job to work with Exusia's global (Americas, Europe, Africa, Asia) clients to deliver bleeding-edge data-driven solutions by performing business and data analysis, data modelling, data mapping and translating functional requirements into technical specifications. Work with Client Product Owners & Business SMEs, Exusia Solution Architects and Senior Application Designers/Developers. Qualifications & Role Responsibilities Have a minimum of 4 years of experience working as a Data Analyst and Data Modeler Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas. Experience working in an agile software delivery model is required. Prior data modelling experience is mandatory preferably for DWH/Data marts Self-motivated and proactive in a fast-paced environment. Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies Own and Lead Data Analysis and data modeling activities Discuss & document data and analytics requirements with cross functional teams and business stakeholders. Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models Data profiling and cleaning data for data analysis. Interpret data, analyze results, prepare data analysis reports. Perform Data validation and testing to certify data Collect, analyze and disseminate significant amounts of information to project team & business stakeholders. Manage changing priorities during the software development lifecycle (SDLC) Requirements Mandatory Skills: Able to create Logical and Conceptual data models for business and functional users Understanding of ER and Dimensional modeling techniques like Star, Snowflake or Constellation Hands on experience in implementing Star Schema and Relational (Normalized including 3 NF) models is mandatory Should have implemented physical data models for a variety of RDBMS and cloud hosted databases Strong understanding of different types of facts and dimensions Hands on experience with data modeling tools like Erwin, ER Studio, Info Sphere Data Architect (IDA) Strong SQL or python skills for carrying out data analysis and data profiling Transforming business/functional requirements into technical specifications. Capturing data mapping / data transformation and business rules logic using source to target mapping templates Hands-on exposure to SQL and No SQL databases and able to write pseudo-code for ETL requirements. Data validation and testing using SQL or any tool-based testing methods Reporting/Visualization tool experience - Power BI Azure Certification relevant for Data Engineering/Analytics Experience and knowledge of one or more domains within Banking and Financial Services Nice-to-Have Skills: Exposure to scrum master or product owner role will be desirable Knowledge of data processing / ETL using Ab Initio / SAS / ADF /Azure Databricks Exposure to one or more Cloud platforms – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects. About Exusia Exusia ( ) is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world's largest and most complex data problems in the financial, healthcare, telecommunications and high technology industries. Exusia’s mission is to transform the world through the innovative use of information. Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia, Africa and UK. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and its entrepreneurship. The company is headquartered in Miami city of Florida, United States with development centers in Pune, Hyderabad, Bengaluru and Gurugram, India. #J-18808-Ljbffr

Our client is seeking a seeking a versatile Data Engineer / Data Scientist to drive data-driven insights. This onsite role involves end-to-end data lifecycle management: building robust data pipelines, developing advanced analytical and ML/AI solutions, and creating impactful dashboards and reports for both internal and external stakeholders. The ideal candidate will transform raw data from diverse sources (web, social, internal systems) into actionable intelligence.

Responsibilities:

• Data pipeline and modeling: Design, build, and maintain scalable ETL/ELT pipelines from various sources. Develop and optimize data models and schemas for consumption by BI, ML, and AI applications.
• Dashboarding and reporting: Create interactive dashboards (e.g., Power BI) and comprehensive client reports, visualizing key trends and insights.
• Machine learning and AI: Identify opportunities, develop, and deploy predictive models and AI solutions.
• Querying and analysis: Utilize advanced SQL and NoSQL for complex data extraction, manipulation, and analysis.
• Collaboration: Partner with cross-functional teams to deliver data solutions that align with business goals.

Qualifications and experience:

• A relevant degree in a quantitative field (e.g. Computer science, Data science, Statistics)
• Technical stack:
• Programming: Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Query languages: Expertise in latest SQL dialects (e.g., T-SQL, PostgreSQL) and experience with NoSQL .
• Cloud platforms: Hands-on experience with latest Microsoft Azure (Data Factory, Databricks, Synapse, ML) and Google Cloud Platform (GCP) (BigQuery, Dataflow, Vertex AI).
• BI tools: Extensive experience with Power BI, Tableau, or Looker Studio for dashboarding.
• Data technologies: Understanding of data warehousing/lake concepts.
• Project experience: Proven track record of completed data engineering/science projects

The reference number  for this position is NG60705 which is a p ermanent onsite position based in Johannesburg offering a salary of R500k to R600k per annum, negotiable based on experience. E-mail Nokuthula on e-merge.co.za or call her for a chat on to discuss this and other opportunities.

Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website for more great positions.

Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, and Fanatics, visit .

Your Role at Impact.com:

We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMs) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.

What You'll Do:

• AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
• Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
• Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings, and market trends.
• Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
• Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
• Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
• Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.

What You Have:

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Expertise:
• Working knowledge of Python
• Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
• Well-developed knowledge of machine learning generally, and deep learning specifically.
• Experience with the use of natural language processing (NLP) techniques for textual analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with SQL
• Knowledge with Big Data processing tech (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage.
• Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions.
• Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
• Team Player: Ability to work collaboratively in a cross-functional team environment.
• Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
• Experience: At least 2 - 4 years in data-related individual contributor roles.
• Previous experience in a startup or fast-paced environment is desirable.

Nice to have:

• Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits:

• Unlimited PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognizing that it is important to be happy and fulfilled in both.
• Training & Development
• Learning the advanced partnership automation products.
• Medical Aid and Provident Fund
• Group schemes with Discovery & Bonitas for medical aid.
• Group scheme with Momentum for provident fund.
• Stock Options
• 3-year vesting schedule pending Board approval.
• Primary caregiver leave
• Internet Allowance
• Flexible work hours
• Casual work environment
• Technology stipend

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI-Hybrid

#J-18808-Ljbffr

Our client is on the lookout for a Data Engineer who is fluent in AWS and passionate about clean, efficient, and scalable data flows. You will play a key role in shaping the data infrastructure that supports cutting-edge products and business intelligence across the organization.

Responsibilities:

1. Design and maintain robust ETL pipelines using AWS Glue, Athena, and S3.
2. Optimize data ingestion and processing for scalability and performance.
3. Collaborate with analysts and data scientists to ensure reliable, well-structured datasets.
4. Own data quality, security, and governance across systems.

Skills & Experience:

• Solid experience in data engineering with a focus on ETL processes.
• Proven knowledge of AWS services (Glue, S3, Athena) with a minimum of 3 years of experience.
• Strong SQL skills and experience with major data platforms such as PostgreSQL, Oracle, RDS.
• A curious mindset and a love for solving complex problems through data.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Additional Details:

• Contact CARLIN FISHER via email (email protected) quoting Ref: CTI005340.
• Connect with us and register your CV to create a profile or view all IT jobs. We are one of the leading Developer Recruitment Agencies in Cape Town.
• Let us assist with your IT career. Explore roles such as C# Developer, Java Developer, Angular Developer, and Full Stack Developer.

Experience Level: Senior IC

Key Skills: Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type: Full-Time

Vacancy: 1

#J-18808-Ljbffr

About the Role :

Grade Level (for internal use) :

Data Analyst

The Team :

The Data Analyst is responsible for the collection update and quality control of Macro Economic Financial and Industry data as well as the maintenance of data ingestion tools.

The Impact :

The Data Analyst role contributes to the business by supporting our macroeconomic and financial product delivering critical data and helping our customers make investment decisions. Data gathered and maintained constitutes the route of many S&P Global Market Intelligence businesses. It is crucial for GIA forecasts and analysis.

Whats in it for you :

• Development opportunity
• Great atmosphere; teamwork.

Responsibilities :

Update macroeconomic financial and industry data in specified time frame

Rebase data and recalculate history as needed or work on data revisions in case of methodology changes

Data addition as requested by manager

Quality control of all supported data

Collaborate with Analysts to provide help in day-to-day questions / issues

Provide second level support to customer via the ticket system

What Were Looking For :

Bachelors degree in economics

2-3 years experience in economic and financial data

Excellent computer and analytical skills

Proficiency in Microsoft Office products

English (French Portuguese would be an advantage)

Position : Centurion Office

Whats In It For You

Our Purpose :

Progress is not a self-starter. It requires a catalyst to be set in motion. Information imagination people technologythe right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence pinpointing risks and opening possibilities. We Accelerate Progress.

Our People :

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Were constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values :

Integrity Discovery Partnership

At S&P Global we focus on Powering Global Markets. Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits :

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include :

Health & Wellness : Health care coverage designed for the mind and body.

Flexible Downtime : Generous time off helps keep you energized for your time on.

Continuous Learning : Access a wealth of resources to grow your career and learn valuable new skills.

Invest in Your Future : Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

Family Friendly Perks : Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

Beyond the Basics : From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit : Hiring and Opportunity at S&P Global :

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race / ethnicity color religion sex sexual orientation gender identity national origin age disability marital status military veteran status unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability please send an email to : and your request will be forwarded to the appropriate person.

US Candidates Only : The EEO is the Law Poster discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America) DTMGOP203 - Entry Professional (EEO Job Group) SWP Priority Ratings - (Strategic Workforce Planning)

Required Experience :

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

#J-18808-Ljbffr